


Robust Statistics
This lecture overviews Robust Statistics that has many applications in Data Analytics and Digital Signal Processing and Analysis. It covers the following topics in detail: Outliers.



Deep Reinforcement Learning
This lecture overviews Deep Reinforcement Learning that has many applications in, e.g., Game playing agents, Self-driving vehicles, Robotics (Robot cleaners) and Stock exchange agents.



Autonomous Car Modeling and Control
This lecture overviews Autonomous Car Modeling and Control that has many applications in autonomous cars and automated driving.



State – Space Equations
This lecture overviews State –Space Equations that has many applications in digital filters, systems theory and deep learning.



Fast Fourier Transform
This lecture overviews Fast Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.



Discrete Fourier Transform
This lecture overviews Discrete Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.